learning with raw data
Deep learning with multiple modalities : making the most out of available data
... deep learning for denoising? To demonstrate the usefulness of deep learning for this denoising, it is necessary to compare with more conventional denoising methods ...(i.e., with all of the ...
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Deep learning and structured data
... transform raw input seismic data di- rectly to the final mapping of faults in ...volumes with reasonable ...modeling with partial differential ...
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Annotating mobile phone location data with activity purposes using machine learning algorithms
... e.g. data from Wi-Fi, accelerometer, Bluetooth, phone call, message logs, media player, and so on, as opposed to a detailed ...GPS data was not available to researchers, as the intention was to explore the ...
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Detecting activity locations from raw GPS data: a novel kernel-based algorithm.
... tracks with known characteristics are processed and allow pre- cise performance ...of data points with large noise. Other methods such as learning algorithms [12], which were not discussed ...
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Urban economics in a historical perspective: Recovering data with machine learning
... unorganised data: writings, symbols, lines/segments, and coloured surfaces are often grouped together on the same map tile and correspond to different pieces of information that has to be converted into separate ...
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Fast Raw Data Generation of Realistic Environments for a SAR System Simulator
... the raw data in one dimensional and two dimensional frequency domains calculated using the principle of stationary phase (itself an approximation) are ...examples with simulated raw ...
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Representation Learning of Compositional Data
... mapping data from the constrained simplex space to the Euclidian space using nonlinear log-ratio ...compositional data. Just like in standard Euclidean data, it is particularly useful when the first ...
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Big data analysis interrogating raw material variability and the impact on process performance
... We developed 51 machine learning models to predict the performance titer and product quality attributes of the manufacturing processes of four biologics. Material attributes[r] ...
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Evolutive deep models for online learning on data streams with no storage
... from data distribution, rather than just reproducing the data samples it has seen during training, especially in the online learning context where data distributions tend to change in ...
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Dictionary Learning for Multidimensional Data
... cope with the noise, researchers, traditionally acquire measurements over multiple repetitions (trials) and average them to classify various patterns of ...dictionary learning method (JADL) [1] has been ...
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Metric learning for structured data
... ween data structure and ...the data is composed of independent indicators of the commodity, and the selection of the standard metric Euclidean distance can achieve better ...different learning tasks, ...
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Data integration in machine learning
... features with respect to their summed improvements in class ...tree with T internal nodes, the importance score of the i-th feature can be deined by s(Xi) = =l g(t)I(v(t) = i), where I (v( t) = i) E {O, I} ...
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Reinforcement learning with raw image pixels as input state
... take essentially only two values, namely K(pixels(p), pixels(p l )) = 1 if p = p l and K(pixels(p), pixels(p l )) ≈ 1/#T S otherwise. Thus, the output predicted at a position far enough from the square boundary will ...
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[PDF] Cours Camera Raw : les formats JPG et RAW | Cours informatique
... du RAW -16 bits- à droite) Les deux fichiers (JPG direct d’APN et RAW) obtenus lors de la même prise de vue avec la même taille de pixels ont été traités avec le logiciel Photoshop ...
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Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
... meta- learning approach to control a group of drone base stations serving ground users with random uplink access ...collect data from pre-defined clusters of IoT devices and provide power wirelessly ...
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Cross-organizational data quality and semantic integrity : learning and reasoning about data semantics with context interchange mediation
... must be brought to bear, along with conversion of units and scaling... Cross-Organizational Data Quality and Semantic Integrity Fixed Income Investment Portfolio -'A' Manager RECEIVER Po[r] ...
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Collective behavior over social networks with data-driven and machine learning models
... high-resolution data sets of mobile phone communication records from the country A and the one city in Country B, to construct offline communication networks and study the effect of social influence on two types ...
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RAW use cases
... 4.2 . Specifics 4.2.1 . Control Loops Process Control designates continuous processing operations, e.g., heating Oil in a refinery or mixing drinking soda. Control loops in the Process Control industry operate at a very ...
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RAW use cases
... 4.2 . Specifics 4.2.1 . Control Loops Process Control designates continuous processing operations, e.g., heating Oil in a refinery or mixing drinking soda. Control loops in the Process Control industry operate at a very ...
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Learning from multi-label data with interactivity constraints: an extensive experimental study
... examples with several subjective labels of interest and consequently express complex search queries on data; VoD being one of our privileged application ...machine learning system depends on ...
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